Find research datasets worth reusing

opencc-by-4.0May 2023View details →

Realistic afforestation scenarios in Great Britain at a 1 km scale to run with the land surface model JULES

Afforestation scenarios created in the work of Buechel et al. (XXXX) which cover Great Britain at a 1 km spatial resolution and attempt to represent potential realistic broadleaf afforestation. The datasets represent a 50% and 100% afforestation scenario. The netCDF files are designed so that may be run with the Joint UK Land Environment Simulator (JULES), a community land surface model. The dataset is structured similar to the CHESS-land dataset (Martinez-De La Torre, 2018) where each grid contains information on the fractional coverage of eight different land cover types: Broadleaf woodland, needleleaf woodland, grassland, shrubland, crops, bare soil, urban areas and inland water.    This dataset was created as part of the NERC doctoral training partnerships (grant number NE/L002612/1).   Martinez-de la Torre, A.., Blyth, E.M.. M. and Robinson, E.L.. L. (2018) ‘Water, carbon and energy fluxes simulation for Great Britain using the JULES Land Surface Model and the Climate Hydrology and Ecology research Support System meteorology dataset (1961-2015) [CHESS-land]’. NERC Environmental Information Data Centre. doi:10.5285/c76096d6-45d4-4a69-a310-4c67f8dcf096.

opencc-by-4.0May 2023View details →

The Prairie State: Using Ecological Niche Modeling to Predict Distributions of Early Land Plants

This data includes raw data of over 12,000 occurrences were downloaded from the Consortium of Bryophyte Herbaria (<a href="http://www.bryophyteportal.org/portal">www.bryophyteportal.org/portal</a>), that were listed to be in Illinois and included longitude and latitude data. This data set was screened and cleaned to investigate species distribution models as well as generate models of selected bryophytes investigating future changes in distribution across climate change scenarios.

opencc-by-4.0May 2023View details →

STEAM evaporation and precipitation for potential vegetation and current land use scenarios

This dataset contains global evaporation and precipitation data generated and described in the following research article: Wang-Erlandsson, L., Fetzer, I., Keys, P. W., van der Ent, R. J., Savenije, H. H. G., and Gordon, L. J.: Remote land use impacts on river flows through atmospheric teleconnections, Hydrol. Earth Syst. Sci., 22, 4311–4328, https://doi.org/10.5194/hess-22-4311-2018, 2018. The dataset includes evaporation and precipitation for a potential vegetation (pv) and a current land use scenario (cur) and comes in monthly resolution and a spatial grid of 1.5° over the period 2000 - 2013. The files are saved in MAT file format. In addition, it includes the data in NetCDF files regridded using cdo (remapnn) to 0.5° spatial resolution.

PYFOREST-Land-Use-Assessment-Statstics

Results data from the Master's Capstone project PYFOREST. Forest cover and deforestation statistical analysis by political boundary data sets are provided.  See attached metadata for additional information, or refer to the <a href="https://github.com/cp-PYFOREST">GitHub project repository.</a>

opencc-by-4.0Mar 2021View details →

Topography of the north western Sørkapp Land (Svalbard) in the year 1961

The datasets contain vector layers (topographic and glacier outlines) and Digital Elevation Model (DEM) covering the north western part of Sørkapp Land peninsula, Svalbard, for the year 1961. The first shapefile &bdquo;glacier_1961_northwestern_Sorkappland.shp” contains the glacier areas manually delineated from vertical aerial photos captured during the historical photogrammetric overflight commissioned by the Norwegian Polar Institute on August 24 and 25, 1961. The shapefile &bdquo;contour_1961_northwestern_Sorkappland.shp” contains contour lines with intervals of 10 m based on digitized historical maps edited in 1987 by the Institute of Geophysics of the Polish Academy of Sciences and registered using cartographic grid and elevation points. Shapefile &bdquo;peak_1961_northwestern_Sorkappland.shp” contains elevation points – topographic and triangulation – used in the process of vector data registration. All shapefiles were produced in the UTM projection system (northern hemisphere, zone 33) based on ETRS89 ellipsoid (datum D_ETRS_1989). The raster file &bdquo;dem_1961_5m_northwestern_Sorkappland.tif” contains Digital Elevation Model (DEM) with 5 m resolution generated from corrected contour lines.

Increased precipitation over land due to climate feedback of large-scale bioenergy cultivation

Biophysical effects of different bioenergy crop cultivation scenarios on global water cycles simulated by coupled IPSL-CM model, with ORCHIDEE-MICT-BIOENERGY as the land component and LMDz as the atmosphere component. The spatial resolution of the coupled model was 1.26° latitude × 2.5° longitude (i.e., 143*144 grid cells globally). Datasets includes: 1. Source data and plotting code for Figure 1, the global precipitation changes induced by bioenergy cultivation. 2. Source data and plotting code for Figure 2, the diagnostic precipitation changes for global land area, in and outside of the bioenergy cultivation area. 3. Source data plotting code for Figure 3, the changes in water balance for global land area, in and outside of bioenergy cultivation area, monsoon regions and four different humidity zones.

Initial Sample of HYPERNETS Hyperspectral Surface Reflectance Measurements for Satellite Validation from the agricultural land at Demmin, Germany

The HYPERNETS project (www.hypernets.eu) aims to ensure that high-quality in situ measurements are available to support the (VNIR/SWIR) optical Copernicus products. Therefore, it established a new autonomous hyperspectral spectroradiometer (HYPSTAR® - www.hypstar.eu) dedicated to land and water surface reflectance validation with instrument-pointing capabilities. In the prototype phase, the instrument is being deployed at 24 sites covering a range of water and land types and a range of climatic and logistic conditions. This dataset provides the first published data for the HYPERNETS site in Demmin, Germany [53°52'5.80"N,13°16'6.80"E] (DEGE). It is a subset of the complete data record, consisting of the measurements withEthaturements which could be used for satellite validation.  The provided NetCDF files are the L2A hypernets products with surface reflectances, their associated uncertainties and error-correlation information. The reflectance in the L2A products is the Hemispherical-directional Reflectance Factor (HDRF) defined as HDRF = π L / E where L is the directional upwelling radiance (with the field o, view of 5 degrees), and E is the (hemispherical) downwelling irradiance (i.e. including both direct solar and diffuse sky irradiance). These reflectances have dimensions of wavelength and series, where each series is a set of measurements for a given geometry (combination of viewing zenith and azimuth angle). In addition to variables for wavelength and bandwidth, the files also contain variables that provide for each series the acquisition time, viewing and solar angles, number of valid scans used, and quality flags (typically, no flags are set in the data provided in this dataset). These NetCDF files also contain further relevant metadata as attributes. See https://hypernets-processor.readthedocs.io/ for further info. The HYPSTAR®-XR sensor was installed on 22 July 2021 at the top of a 10m mast on an extended 5 m horizontal boom to minimise interruption of the field of view. The boom faces South at the right angle towards bare soil. The mast is located at 53.868278°N, 13.268556°E. Data are collected every 30 minutes between 9:00 and 17:00 (UTC) from different zenith and azimuth angles. The HYPSTAR®-XR (eXtended Range) instruments deployed at each land HYPERNETS site consist of a VNIR and a SWIR sensor and autonomously collect data between 380-1700 nm at various viewing geometries and send it to a central server for quality control and processing. The VNIR sensor spans 1330 channels between 380 and 1000 nm with an FWHM of 3 nm, and the SWIR sensor has 220 channels between 1000 and 1700 nm with an FWHM of 10 nm. The hypernets_processor (Goyens et al. 2021; De Vis et al. in prep.) automatically processes all this data into various products, including the L2A surface reflectance product provided here. All products have associated uncertainties (divided into random and systematic uncertainties, including error-correlation information)  propagated using the CoMet toolkit (www.comet-toolkit.org).  To obtain this dataset, we start from the full DEGE data record and omit all the data that do not pass all quality checks performed as part of the hypernets_processor. In addition, an additional screening procedure was also developed to remove outliers and supply the best quality data suitable for satellite validation. To remove the outliers, a sigma-clipping method is used. First, reflectances are extracted in separate 2-hour windows throughout the day (to account for BRDF differences due to different solar positions) for four different wavelengths (500, 900, 1100 and 1600 nm). Outliers in these reflectances are then identified by iteratively calculating the mean reflectance trend with time (by binning the data per maximum of 30 data points), calculating the standard deviation from this trend, and masking any data that is more than three standard deviations away from the trend. This process is repeated on the unmasked data until the standard deviation does not vary by more than 5% between two iterations. The masks for the four different wavelengths are then combined (keeping only measurements for which none of the four wavelengths is an outlier). The reflectances and associated uncertainties for any masked series (i.e. a geometry that is masked either by the sigma-clipping procedure or from the masks of the hypernets_processor) are replaced by NaNs. Any sequence that has more than half of its series masked is removed entirely.

Land-Locked Convection as a Barrier to MJO Propagation across the Maritime Continent

This dataset contains the subset model output variables that were used to derive the results presented in the following publication: Savarin, A. & S. S. Chen (2023): Land-Locked Convection as a Barrier to MJO Propagation across the Maritime Continent. Journal of Advances in Modeling Earth Systems, 15, e2022MS003503. https://doi.org/10.1029/2022MS003503 For the sake of saving space, the model output variables (file names starting with uwincm_) are separated into 2D fields (latitude, longitude, land mask, precipitation, and surface zonal winds) for the duration of model simulation and 3D fields (pressure, temperature, and 3D winds) for selected times used in the manuscript.  Additionally, results of large-scale precipitation tracking for MJO are stored in the file names that begin with lpt_.  HYCOM (ocean model) bathymetry and surface temperature for initial conditions are stored in HYCOM_IC_ files.

Martian crustal models at the InSight landing site from joint inversion of ellipticity, P-to-s RFs and autocorrelations times

- Preferred models resulting from the joint inversion of three local-scale measurements: Rayleigh-wave ellipticity, P-to-s Receiver functions (Joshi et al., 2023) and P-wave lag times from autocorrelation (Schimmel et al., 2021). - Scripts and observables to perform joint inversion.

PYFOREST-Land-Use-Plan-Simulation

Results data from the Master's Capstone Project PYFOREST. Mock properties of the undeveloped region of the Paraguayan Chaco and simulated land use plans under current and alternate laws. See attached metadata for additional information, or refer to the project repository.

APPENDIX 12 in Detangling the effects of patch attributes on bryophyte diversity in fragmented subtropical secondary forests - a case study of land-bridge islands

APPENDIX 12. — Relationships of accumulative species number with accumulative sampling efforts for eight largest islands.

FIG. 2 in Detangling the effects of patch attributes on bryophyte diversity in fragmented subtropical secondary forests - a case study of land-bridge islands

FIG. 2. — Relationships of species richness with number of habitat types, area, elevation, shape irregularity, vegetative cover, and ISW for five bryophyte categories in 168 forest fragments of the Thousand Island Lake, China. The regression equations are derived from GLMMs. Note: ISW, the relative proportion of water within a circle of a diameter of 1000 m centered on a given island.

Urban Land Use Dataset (1964-2001) of Maputo city, Mozambique

This dataset comprises land use maps of Maputo city, with exception of the KaTembe urban district, for the years 1964, 1973, 1982, 1991 and 2001. It is the digital version of the land use maps published by Henriques [1] and revised under the <a href="https://luco.fa.ulisboa.pt/index.php/en/">LUCO</a> research project. The land use of Maputo city was identified from: i) aerial photographs (1964, 1982, 1991), orthophoto maps (1973) and IKONOS images (2001); ii) documentary sources, such as the Urbanization Master Plan (1969) and the Maputo City Addressing (1997); iii) the recognition made during several field survey campaigns. The methodology is described in Henriques [1]. Land use was classified into three levels, resulting from a hierarchical classification system, including descriptive and parametric classes. Levels I and II are available in this repository. Level I, composed by 10 classes, contains the main forms of occupation: built-up areas (residential, economic activity, equipment, and infrastructure) and non-built-up areas (vacant or "natural"). It is geared towards analyses that serve policymaking and resource management at the regional or national scale [1]. Level II, composed by 31 classes, discriminates the higher hierarchical level according to its functional land use to become useful for municipal planning and management in municipal master plans, for example [1]. Maps are available in shapefile format and include predefined symbology-legend files, for QGIS and ArcGIS (v.10.7 or higher). The urban land use classes are described in Portuguese and English, and their meaning is provided as an accompanying document (ULU_Maputo_Nomenclatura_PT.pdf / ULU_Maputo_Nomenclature_EN.pdf). Data format: vector (shapefile, polygon) Reference system: WGS84, UTM 36S (EPSG:32736) Original minimum mapping unit: 25 m2 Urban Land Use dataset attributes: [N_I_C] – code of level I [N_I_D_PT] – name of level I, in Portuguese [N_I_D_EN] - name of level I, in English [N_II_C] – code of level II [N_II_D_PT] - name of level II, in Portuguese [N_II_D_EN] - name of level II, in English Funding: this research was supported by national funds through FCT – Fundação para a Ciência e Tecnologia, I.P. Project number: FCT AGA-KHAN/ 541731809 / 2019 [1] Henriques, C.D. (2008). Maputo. Cinco décadas de mudança territorial. O uso do solo observado por tecnologias de informação geográfica [Maputo. Five decades of territorial transformation. Land use assessed by geographical information technologies]. Lisboa, Instituto Português de Apoio ao Desenvolvimento (ISBN: 978-972-8975-22-7).

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Multilevel analysis between Physcomitrium patens and Mortierella explores potential long-standing interaction among land plants and fungi

<a name="_Hlk83717523"></a>The model moss species Physcomitrium patens has long been used for studying divergence and evolution of land plants spanning from bryophytes to angiosperms. In addition to its phylogenetic relationships, the limited number of differential tissues, and comparable morphology to the earliest embryophytes make it an ideal candidate for modeling plant terrestrialization 500 million years ago. Based on how plants and fungi interact today, it is predicted that early interactions may have aided in overcoming the barriers present for initial plant colonization on land. This may have manifested similar to present day, where fungi enabled easier uptake of nitrogen, phosphorous, micronutrients, and water retention in exchange for a reliable carbon source. However, identifiable fungal symbionts in P. patens, despite mutualistic interaction widespread among all present day embryophyte families, have remained elusive. To test modern representatives of early land fungal lineages, two Mortierella species (Linnemannia elongata and Benniella eriona), with strains lacking and containing endobacterial symbionts, were grown in coculture with P. patens. We illustrate the interaction between P. patens and Mortierella through high-throughput phenomics, microscopy, RNA-sequencing, differential expression profiling, gene ontology enrichment, and comparisons among 99 other P. patens transcriptomic studies. Our study provides insights into the earliest plant-fungal interactions may have looked like and ways P. patens and Mortierella communicate today.

opencc-by-4.0Oct 2022View details →

Capacity Building for GIS-based SDG Indicator Analysis with Global High-resolution Land Cover Datasets - training datasets

Sample datasets for the Case Studies section of the Capacity Building for GIS-based SDG Indicator Analysis with Global High-resolution Land Cover Datasets web book (<a href="https://isprs-gis-sdg.readthedocs.io">https://isprs-gis-sdg.readthedocs.io</a>)

C3S SM COMBINED all versions (until v202212) with ERA5-Land vs ISMN FRMs 0-10 cm

QA4SM validation: C3S SM combined v202212 vs C3S SM combined v202012 vs C3S SM combined v201912 vs C3S SM combined v201812 vs ERA5-Land v20190904 vs ISMN 20230110 global. URL: https://qa4sm.eu/ui/validation-result/2f865302-5e35-4c28-8549-1cc7e86f38cd. Produced on QA4SM (https://qa4sm.eu)

Improving nitrogen cycling in a land surface model (CLM5) to quantify soil N2O, NO and NH3 emissions from enhanced rock weathering with croplands

This repository contains CLM5 model soil nitrogen (N2O, NO and NH3) output and metadata, and soil N2O fluxes from the Energy Farm ERW field trials used in the paper "Improving nitrogen cycling in a land surface model (CLM5) to quantify soil N2O, NO and NH3 emissions from enhanced rock weathering with croplands"  (https://gmd.copernicus.org/preprints/gmd-2023-47/).

Land Water Transition Zone Change Detection - Hydroperiod Maps - WQeMS raster products

Within this dataset, Hydroperiod maps of the Polyphytos open surface water reservoir in Greece and Giaretta reservoir in Italy are available in GeoTIFF raster format. The maps provide information about the total number of days each pixel is inundated within a specific time period.They were generated by the Land Water Transition Zone Change Detection service of the WQeMS project. Each raster file in the dataset is named according to the water body and period during which the processing was performed. Copernicus Sentinel-2 data was utilized for the generation of the inundation maps which were provided as input for the production of the hydroperiod maps.

Land Water Transition Zone Change Detection - Transition Maps between two dates - WQeMS raster products

Within this dataset, land water transition zone maps, which indicate the land-water transition between two instances in time, of the Polyphytos open surface water reservoir in Greece and Giaretta reservoir in Italy, are available in GeoTIFF raster format. The maps depict the transition zones by indicating the change of the pixel status from non-inundated to inundated and vice versa between two provided dates. They were generated by the Land Water Transition Zone Change Detection service of the WQeMS project. Each raster file in the dataset is named according to the water body and the two dates during which the processing was performed. Copernicus Sentinel-2 data was utilized for the generation of the inundation maps on the two dates.

Dataset on Article: River ecological status is shaped by agricultural land use intensity across Europe: Establishing a typology of farming-driven freshwater impacts

This repository contains raw data from the article "River ecological status is shaped by agricultural  land use intensity across Europe: Establishing a typology of farming-driven freshwater impacts" which is currently under review. It contains data to allocate the pressures (Data_pressure_allocation.csv) and calculate the Pressure Index (Data_pressure_index.csv) for Table 1, and for the Spearman correlations for Figure 2 (Data_Spearman_correlations.csv).   Also available is the Shapefile used for the different agricultural maps (Figure 1 and Figure S1-S4): Shapefile Schürings_et_al._2023 (Coordinate system: ETRS 1989 UTM Zone 32N) Attribute description Id - Identifier of polygons gridcode - Code of agricultural archetypes of Levers et al., (2018) M_ZHYD: Unique identifier of corresponding FEC mars_bt12: River types eco_stat_2: Ecological status Biogeoregi: Biogeographical Regions - AN = Northern and Highland, Temp = Temperate, Mediterranean = Mediterranean Cum_pressu: Agricultural pressure index Nitrogen: Agricultural nitrogen pressure Pesticides: Agricultural pesticide pressure Hydromorph: Agricultural hydromorphological pressure Water_abst: Agricultural water abstraction